Call it Tempest or the GCAP core platform, the program packages a familiar promise: move from platform-centric combat to a distributed, sensor-rich system of systems that dominates the electromagnetic battlespace. The claim is simple to state and fiendishly hard to deliver. At the hardware and software level the partners are building toward a fighter that will sense, fuse, protect, and task loyal wingmen while operating inside a contested spectrum environment.

What matters most for electronic warfare is what sits in the sensor and effects stack. Team Tempest and the ISANKE/ICS domain leads have made explicit commitments to integrated sensing and non-kinetic effects. That is not shorthand. Leonardo UK, Mitsubishi Electric and Italy’s ELT/Leonardo construct an ISANKE+ICS architecture intended to fuse RF sensing, communications and active self protection into one coherent suite. The objective is a fighter that does more than detect. It can shape the electromagnetic environment around itself and trusted nodes.

The headline technical assertion from Leonardo is the Multi Function Radio Frequency System, a digitally native RF sensor that the company says will deliver orders of magnitude more data on the battlespace than legacy radars. If you accept the vendor metrics, this sensor will generate a continuous, high density stream of RF-derived information for on board processing and for distribution to other platforms. That stream is the raw material for everything from high fidelity situational awareness to adaptive jamming and cooperative sensing. Treat the claim with cautious optimism. Greater data rates buy possibility but also create new failure modes: timing, processor load, thermal budgets, and the need for very robust electromagnetic compatibility planning inside a tight airframe.

From a tactical standpoint the promise is straightforward. A Tempest-class platform with high-throughput RF sensing, tight sensor fusion and resilient datalinks changes the decision calculus in contested airspace. Rather than relying on single-source detections, the crew can exploit cross-domain cues, cue directed energy or non-kinetic effects, and hand off engagements to unmanned assets while remaining physically removed. In practice this means a stronger ability to detect low-observable emitters, to localize and geolocate RF threats quickly, and to perform coordinated suppression of enemy sensors. Those capabilities matter the most where peer adversaries use sophisticated passive detection, low frequency radars, and integrated SAM networks. The combination of sensing density plus a mature combat cloud will be the Tempest edge, assuming the data can be trusted and shared under jamming and cyber pressure.

That said, the program faces real integration and timeline risks. GCAP’s 2035 in service objective is the anchor for capability planners, but stitching together multinational industrial inputs and unproven technologies creates an exposure profile that looks familiar to anyone who has followed previous generational leaps. Software complexity for human autonomy teaming, real time fusion of multi gigabit RF streams, and the power, weight and cooling demands of next generation sensors all intersect with the low observability design point and habitually pull in opposite directions. Expect iteration and reprioritization as experiments move from lab to flight demonstrations.

Operationally relevant electronic warfare requires not only sensors but also credible non-kinetic effects and survivable communications. The ISANKE/ICS construct explicitly includes non-kinetic effects, but the devil is in the details: rules of engagement, safeguards for unintended collateral spectrum effects, and the ability to operate in peacetime congested commercial bands. Those are policy and spectrum management problems as much as they are engineering problems. The program teams appear aware of this. Their industrial clustering and early cross-national agreements are intended to accelerate common standards for data exchange and through life support. Whether that governance model is sufficient to keep pace with evolving threat sets remains an open question.

What should field operators and EW practitioners take away today? First, Tempest is a systems problem more than it is an airframe problem. If you want to measure how it performs in combat focus on the fidelity and resilience of fusion, the bandwidth and protection of tactical datalinks, and the hardening of on board processing against RF and cyber attack. Second, sensor density without commensurate attention to EW tradeoffs produces brittle advantage. High data rates demand robust filtering, signal classification, and trusted timelines under jamming. Third, early demonstrators will reveal much about practical constraints. The industry is already flying wearable cockpit concepts and experimenting with human machine teaming in Typhoon sorties. Those flight trials are the place where abstract capability claims will be stress tested against latency, pilot workload, and contested EM environments.

Bottom line: Tempest is an ambitious, and for EW practitioners, an intriguing program. If the sensor and non-kinetic promises are realized it will set a new baseline for platform enabled spectrum control. If the program underestimates integration complexity, timelines or multinational governance, the result will be incremental improvements rather than a generational leap. For EW engineers the program presents both an opportunity and a reminder. Opportunity to design for systems level resilience. Reminder that sensing, effects, and spectrum policy must be engineered together, not sequentially. The rest will be decided in flight test and in the first contested deployments, where the real metrics are mission continuity and the ability to keep the data pipeline truthful under attack.